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Three-dimensional holoscopic image coding scheme using high-efficiency video coding with kernel-based minimum mean-square-error estimation

[+] Author Affiliations
Deyang Liu, Ping An, Ran Ma, Chao Yang, Liquan Shen, Kai Li

Key Laboratory of Ministry of Education for Advanced Display and System Application, No. 149, Yanchang Road, Shanghai 200072, China

Shanghai University, School of Communication and Information Engineering, No. 149, Yanchang Road, Shanghai 200072, China

J. Electron. Imaging. 25(4), 043015 (Jul 21, 2016). doi:10.1117/1.JEI.25.4.043015
History: Received March 21, 2016; Accepted June 30, 2016
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Abstract.  Three-dimensional (3-D) holoscopic imaging, also known as integral imaging, light field imaging, or plenoptic imaging, can provide natural and fatigue-free 3-D visualization. However, a large amount of data is required to represent the 3-D holoscopic content. Therefore, efficient coding schemes for this particular type of image are needed. A 3-D holoscopic image coding scheme with kernel-based minimum mean square error (MMSE) estimation is proposed. In the proposed scheme, the coding block is predicted by an MMSE estimator under statistical modeling. In order to obtain the signal statistical behavior, kernel density estimation (KDE) is utilized to estimate the probability density function of the statistical modeling. As bandwidth estimation (BE) is a key issue in the KDE problem, we also propose a BE method based on kernel trick. The experimental results demonstrate that the proposed scheme can achieve a better rate-distortion performance and a better visual rendering quality.

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Citation

Deyang Liu ; Ping An ; Ran Ma ; Chao Yang ; Liquan Shen, et al.
"Three-dimensional holoscopic image coding scheme using high-efficiency video coding with kernel-based minimum mean-square-error estimation", J. Electron. Imaging. 25(4), 043015 (Jul 21, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.4.043015


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